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==Cluster-KPIs==
 
==Cluster-KPIs==
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<br />
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====<u>OEE-Potential</u>====
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The KIproBatt project aims at increasing the Overall Equipment Effectiveness (OEE) by improving the quality factors:
   −
===OEE(Overall Equipment Effectiveness)-Potential===
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* Reduction of scrap parts
<math>Availability \times Performance \times Quality</math>
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* Reduction of reworking parts
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* Integration of real-time sensor data
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<math>OEE = Availability \times Performance \times Quality</math>
    
<math>Availability = \frac{\text{actual production time}}{\text{possible production time}} \times 100</math>
 
<math>Availability = \frac{\text{actual production time}}{\text{possible production time}} \times 100</math>
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<math>Quality = \frac{\text{flawless products}}{\text{actual output}} \times 100</math>
 
<math>Quality = \frac{\text{flawless products}}{\text{actual output}} \times 100</math>
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'''Base value'''
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The base value for the laboratory battery production process is to be determined on the basis of the first battery batch produced (approx. 50 batteries).
   −
'''Current estimated OEE:'''
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<math>Quality = \frac{\text{no. produced parts - (no. rework + no. scrap)}}{\text{no. produced parts}}</math>
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*Availability = 77,82 %
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'''Current state'''
*Performance = 72,98 %
  −
*Quality = tbd
     −
→ <math> 77,82% \times 72,98% \times tbd = </math>
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No improvement achieved yet, as laboratory battery production has not yet started.
   −
'''Target OEE:'''
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'''Target value'''
   −
*Availability = 77,82 %
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The quality parameter should be increased by approx. 5%.
*Performance = 72,98 %
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*Quality = tbd + x%
     −
→ <math> 77,82% \times 72,98% \times tbd = </math>
     −
'''Quality'''
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====<u>TCO-Potential</u>====
   −
Product requirements and specifications
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The KIproBatt project aims at decreasing the Total Cost of Operations (TCO) by improving the subsequent factors:
*Energy density, gravimetrically in Wh/kg and volumetrically in Wh/l
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*Power density, gravimetrically in W/kg and volumetrically in W/l
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*''Service life, operating service life in cycles and calendar service life in years ''
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*Environmental conditions or acceptable maximum and minimum temperatures in °C
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*Efficiency in percent
     −
===TCO-Potential===
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* Reduction of energy consumption
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* Cost of operating materials (e.g., reduction in the use of operating materials, avoidance of waste)
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* Integration of real-time sensor data
   −
TCO = Acquisition costs + Personnel costs + '''Energy costs''' + Maintenance costs + Downtime costs + Running costs (e.g., training courses) + Opportunity costs + Costs for operating materials + Disposal costs + Energy efficiency + '''CO2 balance'''
     −
Saving potential energy costs:
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'''Base value'''
   −
*Forming process: The forming process accounts for approx. 9.4 % of the energy costs in the processes considered (packaging to forming).
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The base value for the laboratory battery production process is to be determined on the basis of the first battery batch produced (approx. 50 batteries).
   −
Current estimated TCO:
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'''Current state'''
   −
*Current energy consumption of forming process: 15 Ah per 870 mAh cell
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By using the reference process in the forming process, the energy consumption and the associated energy costs are already reduced compared to the original process. Energy consumption is thus reduced by approx. 2% (20% reduction in energy consumption in the forming process, 9.4% share of forming in total energy consumption).
   −
Target TCO:
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'''Target value'''
   −
*Reduction of energy consumption in the forming process by 20 % results in a reduction of total energy costs by approx. 2 % (<math>20 % \times 9.4 %</math>)
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The TCO should be decreased with respect to two factors:
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*Reduction of energy consumption by approx. 5%.
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*Reduction of costs of operating materials by approx. 5% (see 3^rd Project-KPI)
       
==Project-KPIs==
 
==Project-KPIs==
   −
===Material consumption per unit===
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====<u>Material consumption per unit</u>====
 
Models can be used to estimate the amount of electrolyte required and to reduce it. In contrast to the active material, a greater potential for reduction is seen here, since the active material has a direct influence on the energy content of the cell.
 
Models can be used to estimate the amount of electrolyte required and to reduce it. In contrast to the active material, a greater potential for reduction is seen here, since the active material has a direct influence on the energy content of the cell.
→ Contributes to the reduction of production costs (not listed in OEE/TCO)
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→ Contributes to the reduction of production costs (not listed in OEE/TCO).
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'''Base value'''
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 +
Electrolyte consumption of 4 ml per 870 mAh cell
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Current electrolyte consumption:
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'''Current state'''
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*4 ml per 870 mAh cell
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No improvement achieved yet, as laboratory battery production has not yet started.
   −
Target electrolyte consumption:
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'''Target value'''
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*3.5 ml per 870 mAh cell
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The material consumption per unit should be reduced to by approx. 12.5%. The target value for electrolyte consumption is 3.5 ml per 870 mAh cell.
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====<u>Share of digital interfaces</u>====
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The KIproBatt project aims at increasing the share of digital interfaces that are integrated in the production process. This share is measured by combining two factors:
   −
===Energy consumption per unit===
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* Share of data points that are recorded for a single cell.
The energy consumption per unit can be reduced by optimizing the forming process.
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* Share of data points that is assigned to a single cell without human intervention (automatically).
   −
Current energy consumption:
     −
*15 Ah per 870 mAh cell
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'''Base value'''
   −
Target energy consumption:
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Electrolyte consumption of 4 ml per 870 mAh cell
   −
*12 Ah per 870 mAh cell
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'''Current state'''
   −
[[File:Overview for LMO-graphite battery (Yuan et al., 2017).png|thumb]]
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No improvement achieved yet, as laboratory battery production has not yet started.
    +
'''Target value'''
    +
The material consumption per unit should be reduced to by approx. 12.5%. The target value for electrolyte consumption is 3.5 ml per 870 mAh cell.
 
===Variable production costs===
 
===Variable production costs===
 
The variable production costs are composed of the energy, material, scrap and manufacturing costs.
 
The variable production costs are composed of the energy, material, scrap and manufacturing costs.
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